Problem 5. Suppose that a uniformly distributed random number X in 0 is found by calling...
Problem 2. Suppose that a uniformly distributed random number X in [0, 1] is found by calling a random number generator. Then, if the call to the RNG produces the value r for X, another random number Y is computed that is uniformly distributed on (0, x). That is, X is uniform on the interval [0, 1], and the conditional distribution for Y given X -a is uniform on the interval [0,x] a) Calculate E(Y X-0.4). b) Calculate E (X...
Suppose Y is uniformly distributed on (0,1), and that the conditional distribution of X given that Y = y is uniform on (0, y). Find E[X]and Var(X).
Suppose Y is uniformly distributed on (0, 1), and that the conditional distribution of X given that Y -y is uniform on (0, y). Find E[X] and Var(X).
Suppose Y is uniformly distributed on (0, 1), and that the conditional distribution of X given that Y -y is uniform on (0, y). Find E[X] and Var(X).
Let's assume Z is uniformly distributed on (0,1). Also suppose that the conditional distribution of Z given that Y = y is uniform (0,y). Fine E(z) and Var(z) and explain why.
1. Let U be a random variable that is uniformly distributed on the interval (0,1) (a) Show that V 1 - U is also a uniformly distributed random variable on the interval (0,1) (b) Show that X-In(U) is an exponential random variable and find its associated parameter (c) Let W be another random variable that is uformly distributed on (0,1). Assume that U and W are independent. Show that a probability density function of Y-U+W is y, if y E...
Exercise 10.33. Let (X,Y) be uniformly distributed on the triangleD with vertices (1,0), (2,0) and (0,1), as in Example 10.19. (a) Find the conditional probability P(X ≤ 1 2|Y =y). You might first deduce the answer from Figure 10.2 and then check your intuition with calculation. (b) Verify the averaging identity for P(X ≤ 1 2). That is, check that P(X ≤ 1 2)=:∞ −∞ P(X ≤ 1 2|Y =y)fY(y)dy. Example 10.19. Let (X, Y) be uniformly distributed on the...
4. Uniform Stick-Breaking A point X is chosen uniformly from the interval (0, 10) and then a point Y is chosen uniformly from the interval (0, X). This can be imagined as snapping a stick of length 10 and then snapping one of the broken bits. Such processes are called stick-breaking processes. a) Find E(X) and Var(X). See Section 15.3 of the textbook for the variance of the uniform. b) Find E(Y) and Var(Y) by conditioning on X. Uniform (a,...
Problem 6. Assume that the number of storms N in the upcoming rainy season is random and follows a Poisson distribution, but with a parameter A that is also random and is uniformly distributed on the interval (0,5). That is. Л ~ Unif(0,5). and given that = λ the conditional distribution of N is Poisson with mean λ: a Praioanyno.s) a) Calculate E(N 1 Λ) and E(N). b) Calculate Var(N | Л) and Var(N). c) Find the probability that zero...
Instructions: If you require uniformly distributed random numbers in [0, 1], use Matlab’s built in uniform random number generator rand. Also, you may NOT use any Matlab built-in functions that explicitly perform the task asked for in the problem. Problem 6. Let α > 0 and set f(x)- ae-ale, for x e(-oo, oo). (a) Make a plot of f (b) Show that f is a probability density function (Hint: -, when z S 0, and x-r, when 0.) (c) If...